首页|Huazhong University of Science and Technology Reports Findings in Robotics (Unte thered & Stiffness-Tunable Ferromagnetic Liquid Robots for Cleanin g Thrombus in Complex Blood Vessels)

Huazhong University of Science and Technology Reports Findings in Robotics (Unte thered & Stiffness-Tunable Ferromagnetic Liquid Robots for Cleanin g Thrombus in Complex Blood Vessels)

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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news originating from Hubei, People's Republic of Ch ina, by NewsRx correspondents, research stated, "Thrombosis is a significant thr eat to human health. However, the existing clinical treatment methods have limit ations." Financial support for this research came from National Natural Science Foundatio n of China. Our news journalists obtained a quote from the research from the Huazhong Univer sity of Science and Technology, "Magnetic soft matter is used in the biomedical field for years, and ferromagnetic liquids exhibit tunable stiffness and on-dema nd movement advantages under magnetic fields. In this study, a ferromagnetic liq uid robot (FMLR) is developed and applied it to thrombus removal in complex bloo d vessels. The FMLR consisted of FeO magnetic nanoparticles and dimethyl silicon e oil. The FMLR can pass through a narrow complex maze through shape deformation by tailoring the intensity and direction of the external magnetic field. Finite element simulation analysis is used to validate the mechanism of controllable F MLR movements. Importantly, the storage modulus of FMLR can be tuned from 0.1 to 2018 Pa by varying the external magnetic intensity, ensuring its effectiveness in removing rigid and stubborn thrombi present on the vascular walls. Toward med ical robotic applications, FMLR can be used in telerobotic neurointerventional. Experiments demonstrating the capability of FMLR to remove thrombi in the ear ve ins of rabbits are conducted."

HubeiPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.3)